Short circuit fault detection in PMSM by means of empirical mode decomposition (EMD) and wigner ville distribution (WVD)

J. Rosero; L. Romeral; J. A. Ortega; E. Rosero

doi:10.1109/APEC.2008.4522706

Short circuit fault detection in PMSM by means of empirical mode decomposition (EMD) and wigner ville distribution (WVD)

J. Rosero^*
, L. Romeral
, J. A. Ortega
, E. Rosero

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

22 Citations (Scopus)

Abstract

This paper presents and analyzes short circuit failures for Permanent Magnet Synchronous Motor (PMSM). The study includes stable condition and speed transients in simulation and realistic experimental conditions. The stator current is analyzed by the empirical mode decomposition (EMD) method, which will generate a collection of intrinsic mode functions (IMF). Finally, the Hilbert-Huang transform (HHT) is used to compute the instantaneous frequencies resulting from the IMFs obtained from the stator currents. Moreover, the IMF 1 and IMF 2 have been analyzed by means of Wigner Ville distribution (WVD). Experimental laboratory results validate the analysis and demonstrate that this kind of time-frequency analysis can be applied to detect and identify short circuit failures in synchronous machines.

Original language	English
Title of host publication	2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC
Pages	98-103
Number of pages	6
DOIs	https://doi.org/10.1109/APEC.2008.4522706
Publication status	Published - 2008
Externally published	Yes
Event	2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC - Austin, TX, United States Duration: 24 Feb 2008 → 28 Feb 2008

Publication series

Name	Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC

Conference

Conference	2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC
Country/Territory	United States
City	Austin, TX
Period	24/02/08 → 28/02/08

Keywords

EMD
Empirical mode decomposition
HHT
Hilbert Huang transform
IMF
Intrinsic mode functions
Motor fault
PMSM drive
Short circuit
Wigner Ville
WVD

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/APEC.2008.4522706

Cite this

Rosero, J., Romeral, L., Ortega, J. A., & Rosero, E. (2008). Short circuit fault detection in PMSM by means of empirical mode decomposition (EMD) and wigner ville distribution (WVD). In 2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC (pp. 98-103). Article 4522706 (Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC). https://doi.org/10.1109/APEC.2008.4522706

@inproceedings{9ceffe9090cd4c078ad6b1921a349b1e,

title = "Short circuit fault detection in PMSM by means of empirical mode decomposition (EMD) and wigner ville distribution (WVD)",

abstract = "This paper presents and analyzes short circuit failures for Permanent Magnet Synchronous Motor (PMSM). The study includes stable condition and speed transients in simulation and realistic experimental conditions. The stator current is analyzed by the empirical mode decomposition (EMD) method, which will generate a collection of intrinsic mode functions (IMF). Finally, the Hilbert-Huang transform (HHT) is used to compute the instantaneous frequencies resulting from the IMFs obtained from the stator currents. Moreover, the IMF 1 and IMF 2 have been analyzed by means of Wigner Ville distribution (WVD). Experimental laboratory results validate the analysis and demonstrate that this kind of time-frequency analysis can be applied to detect and identify short circuit failures in synchronous machines.",

keywords = "EMD, Empirical mode decomposition, HHT, Hilbert Huang transform, IMF, Intrinsic mode functions, Motor fault, PMSM drive, Short circuit, Wigner Ville, WVD",

author = "J. Rosero and L. Romeral and Ortega, \{J. A.\} and E. Rosero",

year = "2008",

doi = "10.1109/APEC.2008.4522706",

language = "English",

isbn = "9781424418749",

series = "Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC",

pages = "98--103",

booktitle = "2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC",

note = "2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC ; Conference date: 24-02-2008 Through 28-02-2008",

}

Rosero, J, Romeral, L, Ortega, JA & Rosero, E 2008, Short circuit fault detection in PMSM by means of empirical mode decomposition (EMD) and wigner ville distribution (WVD). in 2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC., 4522706, Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC, pp. 98-103, 2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC, Austin, TX, United States, 24/02/08. https://doi.org/10.1109/APEC.2008.4522706

Short circuit fault detection in PMSM by means of empirical mode decomposition (EMD) and wigner ville distribution (WVD). / Rosero, J.; Romeral, L.; Ortega, J. A. et al.
2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC. 2008. p. 98-103 4522706 (Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Short circuit fault detection in PMSM by means of empirical mode decomposition (EMD) and wigner ville distribution (WVD)

AU - Rosero, J.

AU - Romeral, L.

AU - Ortega, J. A.

AU - Rosero, E.

PY - 2008

Y1 - 2008

N2 - This paper presents and analyzes short circuit failures for Permanent Magnet Synchronous Motor (PMSM). The study includes stable condition and speed transients in simulation and realistic experimental conditions. The stator current is analyzed by the empirical mode decomposition (EMD) method, which will generate a collection of intrinsic mode functions (IMF). Finally, the Hilbert-Huang transform (HHT) is used to compute the instantaneous frequencies resulting from the IMFs obtained from the stator currents. Moreover, the IMF 1 and IMF 2 have been analyzed by means of Wigner Ville distribution (WVD). Experimental laboratory results validate the analysis and demonstrate that this kind of time-frequency analysis can be applied to detect and identify short circuit failures in synchronous machines.

AB - This paper presents and analyzes short circuit failures for Permanent Magnet Synchronous Motor (PMSM). The study includes stable condition and speed transients in simulation and realistic experimental conditions. The stator current is analyzed by the empirical mode decomposition (EMD) method, which will generate a collection of intrinsic mode functions (IMF). Finally, the Hilbert-Huang transform (HHT) is used to compute the instantaneous frequencies resulting from the IMFs obtained from the stator currents. Moreover, the IMF 1 and IMF 2 have been analyzed by means of Wigner Ville distribution (WVD). Experimental laboratory results validate the analysis and demonstrate that this kind of time-frequency analysis can be applied to detect and identify short circuit failures in synchronous machines.

KW - EMD

KW - Empirical mode decomposition

KW - HHT

KW - Hilbert Huang transform

KW - IMF

KW - Intrinsic mode functions

KW - Motor fault

KW - PMSM drive

KW - Short circuit

KW - Wigner Ville

KW - WVD

UR - https://www.scopus.com/pages/publications/49249098630

U2 - 10.1109/APEC.2008.4522706

DO - 10.1109/APEC.2008.4522706

M3 - Conference contribution

AN - SCOPUS:49249098630

SN - 9781424418749

T3 - Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC

SP - 98

EP - 103

BT - 2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC

T2 - 2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC

Y2 - 24 February 2008 through 28 February 2008

ER -

Rosero J, Romeral L, Ortega JA, Rosero E. Short circuit fault detection in PMSM by means of empirical mode decomposition (EMD) and wigner ville distribution (WVD). In 2008 23rd Annual IEEE Applied Power Electronics Conference and Exposition, APEC. 2008. p. 98-103. 4522706. (Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC). doi: 10.1109/APEC.2008.4522706

Short circuit fault detection in PMSM by means of empirical mode decomposition (EMD) and wigner ville distribution (WVD)

Abstract

Publication series

Conference

Keywords

UN SDGs

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